Implementation of a dynamic thickened flame model for large eddy simulations of turbulent premixed combustion

Wang, Gaofeng; Boileau, Matthieu; Veynante, Denis

doi:10.1016/j.combustflame.2011.04.008

Cited by 148 publications

(104 citation statements)

References 36 publications

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“…The difference in U h i=U b obtained using the 1.5M and 4.2M grids is negligibly small and the values obtained using the 1.5M grid compare well with the measurements also. These results agree well with those from past studies; however, a close examination of Figure B1 suggests that the agreement with the experimental data is better for the results of Wang et al (2011), which used the 8.5M unstructured grid. Nevertheless, the difference among the numerical results and the data is observed to be small.…”

Section: Cflsupporting

confidence: 91%

“…The current results are in good agreement with the previous results as seen in Figure B2. However, the results of Wang et al (2011) agree better with the data because they have used the 8.5M grid. The results obtained using the 4.2M Figure B1.…”

Section: Cflmentioning

confidence: 57%

“…Three piloted stoichiometric methane-air Bunsen flames of Chen et al (1996) considered in many past RANS (Amzin et al, 2012;Herrmann, 2006;Kolla and Swaminathan, 2010b;Lindstedt and Vaos, 2006;Prasad and Gore, 1999;Salehi and Bushe, 2010;Salehi et al, 2012;Heinz, 2008, 2010) and LES (De and Acharya, 2009;Dodoulas and Navarro-Martinez, 2013;Langella et al, 2015;Pitsch and de Lagneste, 2002;Wang et al, 2011;Yilmaz et al, 2010) studies are chosen for this investigation. The reactant jet with a diameter of D = 12 mm issues into quiescent air and the flame is stabilized by laminar pilot flames of the same mixture.…”

Section: Experimental Casesmentioning

confidence: 99%

“…The pilot temperature is unspecified in the experimental study and values ranging from 1785 to 2248 K were used in past studies (Amzin et al, 2012;De and Acharya, 2009;Dodoulas and Navarro-Martinez, 2013;Herrmann, 2006;Kolla and Swaminathan, 2010b;Lindstedt and Vaos, 2006;Pitsch and de Lagneste, 2002;Prasad and Gore, 1999;Salehi and Bushe, 2010;Salehi et al, 2012;Heinz, 2008, 2010;Wang et al, 2011;Yilmaz et al, 2010) suggesting that the heat loss to the pilot burner varies from 0 (De and Acharya, 2009) to 34% (Dodoulas and Navarro-Martinez, 2013;Lindstedt and Vaos, 2006). A value of 17% was used by Herrmann (2006) and 20% heat loss was assumed by Pitsch and de Lagneste (2002) and Wang et al (2011). For this study, it is taken to be 16% following Amzin et al (2012) and Kolla and Swaminathan (2010b), which gives 1950 K for the pilot temperature.…”

Section: Boundary and Initial Conditionsmentioning

confidence: 99%

See 3 more Smart Citations

Large Eddy Simulation of Premixed Combustion: Sensitivity to Subgrid Scale Velocity Modeling

Langella

Swaminathan

Gao

et al. 2016

Combustion Science and Technology

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An algebraic reaction rate closure involving filtered scalar dissipation rate of reaction progress variable is studied. The filtered scalar dissipation rate closure requires a model for sub-grid scale velocity, u 0 Δ , which is estimated using four algebraic models and transported subgrid scale kinetic energy. A priori analyses using direct numerical simulation (DNS) data show that the filtered dissipation rate, and thus the reaction rate closure, has some sensitivity to the u 0 Δ model. The sensitivity of various statistics obtained from large eddy simulation (LES) of three piloted Bunsen flames of stoichiometric methaneair mixture to the modeling of u 0 Δ is observed to be weaker compared to that for the DNS analysis. Moreover, analysis using transported sub-grid scale kinetic energy does not indicate a necessity to include flame-generated turbulence in the modeling of u 0 Δ for the Bunsen flames in the thin reaction zones regime. The measured and computed flame brush structures are compared and studied and the algebraic closure for the filtered reaction rate is found to be quite good. ARTICLE HISTORY

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Section: Cflsupporting

confidence: 91%

Section: Cflmentioning

confidence: 57%

Section: Experimental Casesmentioning

confidence: 99%

Section: Boundary and Initial Conditionsmentioning

confidence: 99%

See 2 more Smart Citations

Large Eddy Simulation of Premixed Combustion: Sensitivity to Subgrid Scale Velocity Modeling

Langella

Swaminathan

Gao

et al. 2016

Combustion Science and Technology

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“…The most stretched flame, denoted F1, is located at the borderline to the well stirred reactor regime while the less stretched F3 flame is located in the thin reaction zone regime, close to the borderline of the flamelet regime [54]. This set of flames has been widely studied in the literature, and RANS simulations of all F1-F3 flames have been reported [24,25,[55][56][57][58][59][60], however to the authors' knowledge only three LES simulations have been reported [11,31,82] and mostly on the lower Reynolds number flame F3. The three flames are generated with the same burner.…”

Section: Test Casementioning

confidence: 99%

Large Eddy Simulation of Premixed Turbulent Flames Using the Probability Density Function Approach

Dodoulas

Navarro‐Martinez

2013

Flow Turbulence Combust

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Abstract. In the present study a Large Eddy Simulation and Filtered Density Function model is applied to three premixed piloted turbulent methane flames at different Reynolds Numbers using the Eulerian stochastic fields approach. The model is able to reproduce the flame structure and flow characteristics with a low number of fields (between 4 and 16 fields). The results show a good agreement with experimental data with the same closures employed in non-premixed combustion without any adjustment for combustion regime. The effect of heat release on the flow field is captured correctly. A wide range of sensitivity studies is carried out, including the number of fields, the chemical mechanism, differential diffusion effects and micro-mixing closures. The present work shows that premixed combustion (at least in the conditions under study) can be modelled using LES-PDF methods.. Finally, the ability of the model to predict flame quenching is studied. The model can accurate capture the conditions at which combustion is not sustainable and large pockets of extinction appear.

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Self‐excited Combustion Instabilities

Camporeale

Laera

Campa

2016

Handbook of Combustion

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Self‐excited combustion instabilities are dangerous phenomena that may occur in gas turbine combustors, rocket combustion systems, and industrial furnaces. In this chapter, the main mechanisms that cause instabilities are described, with attention focused on the influence of pressure waves on the fluctuations of flame heat release rates. An historical background (with reference to rocket engines) is followed by a description of the phenomenon in gas turbines, considering both cannular and annular combustion chambers. Initially, a description of mathematical models based on a lumped approach is presented; these approaches are useful for a preliminary analysis of the phenomenon. Modern, three‐dimensional codes that can be used as design and analysis tools are then described, together with instructions of how to use such tools in conjunction with experimental analyses capable of identifying linear and nonlinear flame responses to flow perturbation. A mathematical approach capable of modeling the bifurcation process that leads to steady large amplitude fluctuations known as the limit‐cycle is described, and examples are given. Analyses of combustion instabilities offered by computationally intensive simulations, making use of unsteady reactive and fluid dynamic codes, are also discussed. Finally, active and passive control techniques outlined that can be used to avoid, or at least attenuate, instabilities.

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Implementation of a dynamic thickened flame model for large eddy simulations of turbulent premixed combustion

Cited by 148 publications

References 36 publications

Large Eddy Simulation of Premixed Combustion: Sensitivity to Subgrid Scale Velocity Modeling

Large Eddy Simulation of Premixed Combustion: Sensitivity to Subgrid Scale Velocity Modeling

Large Eddy Simulation of Premixed Turbulent Flames Using the Probability Density Function Approach

Self‐excited Combustion Instabilities

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